Day Shift Python Data Analyst Jobs in Washington

Overview

We are seeking an experienced Data Analyst / Business Analytics Specialist to support data-driven decision-making within a mission-focused environment. The ideal candidate will have hands-on experience analyzing complex datasets, developing data visualizations, identifying trends and relationships, and translating customer requirements into actionable analytical products and system specifications.

What will you do?

• Apply qualitative and quantitative data analysis methodologies to complex business and mission-related problems.
• Use critical thinking, analytical judgment, and programmatic, quantitative, and qualitative methods to identify patterns, relationships, and trends across disparate datasets.
• Perform mathematical, statistical, and other data-driven analyses to answer business questions and support organizational decision-making.
• Obtain structured and unstructured data from multiple sources, synthesize the information, and present findings clearly and concisely through written and graphical products.
• Transform, manipulate, combine, and analyze data using programming languages such as Python or R.
• Develop dashboards, reports, and interactive data visualizations using Tableau.
• Create visualization mockups and prototypes and demonstrate analytical products to both technical and non-technical audiences.
• Use data preparation tools such as Tableau Prep Builder to clean, organize, and prepare data for analysis and visualization.
• Interpret data models and work with a variety of data sources, database structures, and data formats.
• Use SQL and Excel to query, manipulate, analyze, and validate data.
• Translate customer requirements and business needs into project or system specifications.
• Interact directly with customers and stakeholders to coordinate requirements, clarify objectives, and resolve data-related questions.
• Document analytical methodologies, workflows, processes, and technical procedures.
• Provide analytical judgment and trend analysis based on research, historical data, and comparisons with previous analytical products.

Do you have what it takes?

• Active TS/SCI with Polygraph
• BS degree and 11-15 years of prior relevant experience
• Demonstrated experience in at least two of the following disciplines:
  • Business Analytics
  • Statistics
  • Data Verification and Validation
  • Data Visualization
• Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
• Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
• Experience documenting workflows and work processes.
• Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
• Experience interpreting data models and working with multiple data sources and data structures.
• Experience translating customer requirements into project or system specifications.
• Strong interpersonal, written, and verbal communication skills.
• Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
• Hands-on experience with Tableau.
• Experience transforming, manipulating, and combining data using Python or another programming language.
• Experience with a data preparation tool such as Tableau Prep Builder.
• Experience using SQL and Microsoft Excel.

Qualifications:

• Active TS/SCI with Polygraph
• BS degree and 11-15 years of prior relevant experience
• Demonstrated experience in at least two of the following disciplines:
  • Business Analytics
  • Statistics
  • Data Verification and Validation
  • Data Visualization
• Demonstrated experience applying qualitative and quantitative data analysis methods to business analytics problems.
• Experience developing data visualization mockups, prototypes, dashboards, or other graphical analytical products.
• Experience documenting workflows and work processes.
• Ability to effectively demonstrate and communicate analytical products to both technical and non-technical audiences.
• Experience interpreting data models and working with multiple data sources and data structures.
• Experience translating customer requirements into project or system specifications.
• Strong interpersonal, written, and verbal communication skills.
• Self-starter capable of decomposing ambiguous problems into actionable tasks and plans.
• Hands-on experience with Tableau.
• Experience transforming, manipulating, and combining data using Python or another programming language.
• Experience with a data preparation tool such as Tableau Prep Builder.
• Experience using SQL and Microsoft Excel.

Education:UNAVAILABLEEmployment Type: FULL_TIME